A multi-temporal MRI radiomics model for early post-ablation recurrence risk stratification in hepatocellular
Yihang Xu1, Liting Peng2, Junbin Liao3
1Division of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Objectives:
To develop and validate a multi-temporal magnetic resonance imaging (MRI)-based radiomics model for predicting one-year recurrence in hepatocellular carcinoma (HCC) after ablation.
Methods:
This retrospective study included 204 patients with HCC who underwent curative ablation between 2016 and 2021. Multi-sequence MRI was performed within one month before and three months after ablation. Radiomics features were extracted from arterial phase (T1A), portal venous phase (T1V), and T2-weighted images using pre-ablation, post-ablation, and delta features. Patients were randomly divided into training (n = 142) and validation (n = 62) cohorts. Models were evaluated using receiver operating characteristic analysis, and differences in AUC between models were assessed.
Results:
During a median follow-up of 750 days, 50 patients (24.5%) developed recurrence within one year. The integrated radiomics model (IRM) achieved the best discriminatory performance, with area under the curve values of 0.888 (95% CI: 0.801-0.976) in the training cohort and 0.858 (95% CI: 0.718-0.998) in the validation cohort. Kaplan-Meier analysis showed significant differences in recurrence-free survival between IRM-defined low- and high-risk groups in both cohorts (p < 0.001).
Conclusion:
The multi-temporal MRI radiomics model showed promising performance for early recurrence risk stratification after HCC ablation in the internal validation cohort, suggesting potential translational value for non-invasive recurrence-risk assessment. Further prospective external validation is warranted.
